Yevgeniy Vorobeychik

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 243

Top Venues

Publications

Junlin Wu, Hussein Sibai, Yevgeniy Vorobeychik
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks. SP (Workshops) (2024)
Jayanth Yetukuri, Ian Hardy, Yevgeniy Vorobeychik, Berk Ustun, Yang Liu
Providing Fair Recourse over Plausible Groups. AAAI (2024)
Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning. CoRR (2024)
Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. CoRR (2024)
Junlin Wu, Jiongxiao Wang, Chaowei Xiao, Chenguang Wang, Ning Zhang, Yevgeniy Vorobeychik
Preference Poisoning Attacks on Reward Model Learning. CoRR (2024)
Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu
Adversarial Machine Unlearning. CoRR (2024)
Ying Xu, Michael Lanier, Anindya Sarkar, Yevgeniy Vorobeychik
Attacks on Node Attributes in Graph Neural Networks. CoRR (2024)
Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models. ACL (1) (2024)
Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu
Axioms for AI Alignment from Human Feedback. CoRR (2024)
Junlin Wu, Huan Zhang, Yevgeniy Vorobeychik
Verified Safe Reinforcement Learning for Neural Network Dynamic Models. CoRR (2024)
Shivam Bajaj, Pranoy Das, Yevgeniy Vorobeychik, Vijay Gupta
Rationality of Learning Algorithms in Repeated Normal-Form Games. CoRR (2024)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
Attacking Shortest Paths by Cutting Edges. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
Luise Ge, Brendan Juba, Yevgeniy Vorobeychik
Learning Linear Utility Functions From Pairwise Comparison Queries. CoRR (2024)
Taha Eghtesad, Sirui Li, Yevgeniy Vorobeychik, Aron Laszka
Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks. AAMAS (2024)
Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik
Geospatial Active Search for Preventing Evictions. AAMAS (2024)
Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik
A Visual Active Search Framework for Geospatial Exploration. WACV (2024)
Victor A. Borza, Andrew Estornell, Chien-Ju Ho, Bradley A. Malin, Yevgeniy Vorobeychik
Dataset Representativeness and Downstream Task Fairness. CoRR (2024)
Tao Zhang, Rajagopal Venkatesaramani, Rajat K. De, Bradley A. Malin, Yevgeniy Vorobeychik
A Game-Theoretic Approach to Privacy-Utility Tradeoff in Sharing Genomic Summary Statistics. CoRR (2024)
Yulin Zhu, Xing Ai, Yevgeniy Vorobeychik, Kai Zhou
Homophily-Driven Sanitation View for Robust Graph Contrastive Learning. CoRR (2023)
Michael Lanier, Aayush Dhakal, Zhexiao Xiong, Arthur Li, Nathan Jacobs, Yevgeniy Vorobeychik
Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems. CoRR (2023)
Taha Eghtesad, Sirui Li, Yevgeniy Vorobeychik, Aron Laszka
Hierarchical Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks. CoRR (2023)
Chayan Maitra, Dibyendu Bikash Seal, Vivek Das, Yevgeniy Vorobeychik, Rajat K. De
UMINT-FS: UMINT-guided Feature Selection for multi-omics datasets. BIBM (2023)
Andrew Estornell, Sanmay Das, Brendan Juba, Yevgeniy Vorobeychik
Popularizing Fairness: Group Fairness and Individual Welfare. AAAI (2023)
Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search. NeurIPS (2023)
Andrew Estornell, Yatong Chen, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik
Incentivizing Recourse through Auditing in Strategic Classification. IJCAI (2023)
Hongchao Zhang, Junlin Wu, Yevgeniy Vorobeychik, Andrew Clark
Exact Verification of ReLU Neural Control Barrier Functions. CoRR (2023)
Connor Douglas, Everett Witt, Mia Bendy, Yevgeniy Vorobeychik
Computing an Optimal Pitching Strategy in a Baseball At-Bat. FLAIRS (2023)
Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik
A Partially Supervised Reinforcement Learning Framework for Visual Active Search. CoRR (2023)
Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A. Malin, Yevgeniy Vorobeychik
Enabling Trade-offs in Privacy and Utility in Genomic Data Beacons and Summary Statistics. CoRR (2023)
Jun Wang, Jiaming Tong, Kaiyuan Tan, Yevgeniy Vorobeychik, Yiannis Kantaros
Conformal Temporal Logic Planning using Large Language Models: Knowing When to Do What and When to Ask for Help. CoRR (2023)
Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao
On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models. CoRR (2023)
Jinghan Yang, Hunmin Kim, Wenbin Wan, Naira Hovakimyan, Yevgeniy Vorobeychik
Certified Robust Control under Adversarial Perturbations. ACC (2023)
Ashwin Kumar, Yevgeniy Vorobeychik, William Yeoh
Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems. CoRR (2023)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
Defense Against Shortest Path Attacks. CoRR (2023)
Jinghan Yang, Hunmin Kim, Wenbin Wan, Naira Hovakimyan, Yevgeniy Vorobeychik
Certified Robust Control under Adversarial Perturbations. CoRR (2023)
Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A. Malin, Yevgeniy Vorobeychik
Defending Against Membership Inference Attacks on Beacon Services. ACM Trans. Priv. Secur. 26 (3) (2023)
Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models. ICML (2023)
Junlin Wu, Andrew Clark, Yiannis Kantaros, Yevgeniy Vorobeychik
Neural Lyapunov Control for Discrete-Time Systems. NeurIPS (2023)
Han Liu, Yuhao Wu, Zhiyuan Yu, Yevgeniy Vorobeychik, Ning Zhang
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples. CVPR (2023)
Joseph Bao, Murat Kantaciourglu, Yevgeniy Vorobeychik, Charles A. Kamhoua
IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception. FLAIRS (2023)
Michael Lanier, Aayush Dhakal, Zhexiao Xiong, Arthur Li, Nathan Jacobs, Yevgeniy Vorobeychik
Eroding Trust in Aerial Imagery: Comprehensive Analysis and Evaluation of Adversarial Attacks in Geospatial Systems. AIPR (2023)
Weiyi Xia, Melissa A. Basford, Robert J. Carroll, Ellen Wright Clayton, Paul A. Harris, Murat Kantarcioglu, Yongtai Liu, Steve Nyemba, Yevgeniy Vorobeychik, Zhiyu Wan, Bradley A. Malin
research program. J. Am. Medical Informatics Assoc. 30 (5) (2023)
Michal Tomasz Godziszewski, Yevgeniy Vorobeychik, Tomasz P. Michalak
Adversarial Link Prediction in Spatial Networks. AAMAS (2023)
Greg Leo, Yevgeniy Vorobeychik, Myrna Wooders
Subgame Perfect Coalition Formation. Dyn. Games Appl. 13 (2) (2023)
Junlin Wu, Andrew Clark, Yiannis Kantaros, Yevgeniy Vorobeychik
Neural Lyapunov Control for Discrete-Time Systems. CoRR (2023)
Ashwin Kumar, Yevgeniy Vorobeychik, William Yeoh
Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems. ICAPS (2023)
Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik
Group-Fair Classification with Strategic Agents. FAccT (2023)
Yevgeniy Vorobeychik
The Many Faces of Adversarial Machine Learning. AAAI (2023)
Joseph Bao, Murat Kantarcioglu, Yevgeniy Vorobeychik, Charles A. Kamhoua
IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception. CoRR (2023)
Hongchao Zhang, Junlin Wu, Yevgeniy Vorobeychik, Andrew Clark
Exact Verification of ReLU Neural Control Barrier Functions. NeurIPS (2023)
Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Tomasz P. Michalak, Talal Rahwan
Hiding From Centrality Measures: A Stackelberg Game Perspective. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Sixie Yu, P. Jeffrey Brantingham, Matthew Valasik, Yevgeniy Vorobeychik
Learning binary multi-scale games on networks. UAI (2022)
Ashwin Kumar, Yevgeniy Vorobeychik, William Yeoh
Improving Zonal Fairness While Maintaining Efficiency in Rideshare Matching. ATT@IJCAI (2022)
Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik
Manipulating Elections by Changing Voter Perceptions. CoRR (2022)
Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe
Networked Restless Multi-Armed Bandits for Mobile Interventions. AAMAS (2022)
Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik
Solving structured hierarchical games using differential backward induction. UAI (2022)
Anindya Sarkar, Michael Lanier, Scott Alfeld, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik
A Visual Active Search Framework for Geospatial Exploration. CoRR (2022)
Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik
Manipulating Elections by Changing Voter Perceptions. IJCAI (2022)
Weiyi Xia, Yongtai Liu, Zhiyu Wan, Yevgeniy Vorobeychik, Murat Kantarcioglu, Ellen Wright Clayton, Bradley A. Malin
A Scalable Tool for Realistic Health Data Re-identification Risk Assessment. AMIA (2022)
Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe
Networked Restless Multi-Armed Bandits for Mobile Interventions. CoRR (2022)
Amanda Kube, Sanmay Das, Patrick J. Fowler, Yevgeniy Vorobeychik
Just Resource Allocation? How Algorithmic Predictions and Human Notions of Justice Interact. EC (2022)
Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher D. Gill, Ning Zhang
Reward Delay Attacks on Deep Reinforcement Learning. CoRR (2022)
Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik
Adversarial Robustness of Deep Sensor Fusion Models. WACV (2022)
James Holt, Edward Raff, Ahmad Ridley, Dennis Ross, Arunesh Sinha, Diane Staheli, William Streilen, Milind Tambe, Yevgeniy Vorobeychik, Allan B. Wollaber
Artificial Intelligence for Cyber Security (AICS). CoRR (2022)
Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik
PROVES: Establishing Image Provenance using Semantic Signatures. WACV (2022)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
Attacking Shortest Paths by Cutting Edges. CoRR (2022)
Junlin Wu, Hussein Sibai, Yevgeniy Vorobeychik
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks. CoRR (2022)
Victor A. Borza, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin
A Representativeness-informed Model for Research Record Selection from Electronic Medical Record Systems. AMIA (2022)
Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher D. Gill, Ning Zhang
Reward Delay Attacks on Deep Reinforcement Learning. GameSec (2022)
Han Liu, Zhiyuan Yu, Mingming Zha, XiaoFeng Wang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang
When Evil Calls: Targeted Adversarial Voice over IP Network. CCS (2022)
Junlin Wu, Yevgeniy Vorobeychik
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum. ICML (2022)
Jian Low, Chen Hajaj, Yevgeniy Vorobeychik
A Rotating Proposer Mechanism for Team Formation. CoRR (2022)
Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. ICLR (2022)
Junlin Wu, Yevgeniy Vorobeychik
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum. CoRR (2022)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
Optimal Edge Weight Perturbations to Attack Shortest Paths. CoRR (2021)
Tarek F. Abdelzaher, Sanjoy K. Baruah, Chris Gill, Yevgeniy Vorobeychik, Ning Zhang, Xuan Zhang
Research Challenges for Combined Autonomy, AI, and Real-Time Assurance. CogMI (2021)
Yongtai Liu, Douglas Conway, Zhiyu Wan, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin
De-identifying Socioeconomic Data at the Census Tract Level for Medical Research Through Constraint-based Clustering. AMIA (2021)
Junlin Wu, Charles A. Kamhoua, Murat Kantarcioglu, Yevgeniy Vorobeychik
Learning Generative Deception Strategies in Combinatorial Masking Games. CoRR (2021)
Sixie Yu, David Kempe, Yevgeniy Vorobeychik
Altruism Design in Networked Public Goods Games. CoRR (2021)
Netanel Raviv, Aidan Kelley, Michael Guo, Yevgeniy Vorobeychik
Enhancing Robustness of Neural Networks through Fourier Stabilization. CoRR (2021)
Junlin Wu, Charles A. Kamhoua, Murat Kantarcioglu, Yevgeniy Vorobeychik
Learning Generative Deception Strategies in Combinatorial Masking Games. GameSec (2021)
Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik
Solving Structured Hierarchical Games Using Differential Backward Induction. CoRR (2021)
Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. CVPR (2021)
Sixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik
POTION : Optimizing Graph Structure for Targeted Diffusion. SDM (2021)
Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik
Incentivizing Truthfulness Through Audits in Strategic Classification. AAAI (2021)
Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan, Tomasz P. Michalak
Strategic Evasion of Centrality Measures. CoRR (2021)
Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure. CoRR (2021)
Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. CoRR (2021)
Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan, Tomasz P. Michalak
Strategic Evasion of Centrality Measures. AAMAS (2021)
Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, Yevgeniy Vorobeychik
A Game-Theoretic Approach for Hierarchical Policy-Making. CoRR (2021)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
PATHATTACK: Attacking Shortest Paths in Complex Networks. CoRR (2021)
Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld
PATHATTACK: Attacking Shortest Paths in Complex Networks. ECML/PKDD (2) (2021)
Sixie Yu, David Kempe, Yevgeniy Vorobeychik
Altruism Design in Networked Public Goods Games. IJCAI (2021)
Adith Boloor, Tong Wu, Patrick Naughton, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik
Can Optical Trojans Assist Adversarial Perturbations? ICCVW (2021)
Rajagopal Venkatesaramani, Bradley A. Malin, Yevgeniy Vorobeychik
Re-identification of Individuals in Genomic Datasets Using Public Face Images. CoRR (2021)
Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents. CoRR (2021)
Xintong Wang, Christopher Hoang, Yevgeniy Vorobeychik, Michael P. Wellman
Spoofing the Limit Order Book: A Strategic Agent-Based Analysis. Games 12 (2) (2021)
Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure. AAAI (2021)
Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik
PROVES: Establishing Image Provenance using Semantic Signatures. CoRR (2021)
Shanto Roy, Salah Uddin Kadir, Yevgeniy Vorobeychik, Aron Laszka
Strategic Remote Attestation: Testbed for Internet-of-Things Devices and Stackelberg Security Game for Optimal Strategies. GameSec (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yevgeniy Vorobeychik